Forest ecosystems are of paramount importance to the sustainable existence of life on earth.
Unique natural and artificial phenomena pose severe threats to the perseverance of such …

The rapidly evolving field of sound classification has greatly benefited from the methods of
other domains. Today, the trend is to fuse domain-specific tasks and approaches together …

Human subjective evaluation is the" gold standard" to evaluate speech quality optimized for
human perception. Perceptual objective metrics serve as a proxy for subjective scores. The …

Research in sound classification and recognition is rapidly advancing in the field of pattern
recognition. One important area in this field is environmental sound recognition, whether it …

This paper discusses how automatic speech recognition systems are and could be
designed, in order to best exploit the discriminative information encoded in human speech …

The perceptual task of speech quality assessment (SQA) is a challenging task for machines
to do. Objective SQA methods that rely on the availability of the corresponding clean …

Significant efforts are being invested to bring state-of-the-art classification and recognition to
edge devices with extreme resource constraints (memory, speed, and lack of GPU support) …

Environmental Sound Classification (ESC) is a rapidly evolving field that recently
demonstrated the advantages of application of visual domain techniques to the audio …

Representation learning from unlabeled data has been of major interest in artificial
intelligence research. While self-supervised speech representation learning has been …

Deep learning has celebrated resounding successes in many application areas of relevance
to the Internet of Things (IoT), such as computer vision and machine listening. These …